{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center"
   },
   "source": [
    "# 宝洁销售数据分析\n",
    "- Revenue 门店销售额\n",
    "- Reach 微信推送次数\n",
    "- Local_tv 本地电视广告投入\n",
    "- Online 线上广告投入\n",
    "- Instore 门店内海报陈列等投入\n",
    "- Person 门店销售人员投入\n",
    "- Event 促销事件\n",
    "    - cobranding 品牌联合促销\n",
    "    - holiday 节假日\n",
    "    - special 门店特别促销\n",
    "    - non-event无促销活动"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T17:19:22.637331Z",
     "start_time": "2020-02-11T17:19:22.634326Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "# 解决matplotlib中文问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T16:33:07.827365Z",
     "start_time": "2020-02-11T16:33:07.821359Z"
    }
   },
   "outputs": [],
   "source": [
    "# 导入数据\n",
    "store = pd.read_csv(\"./26 w2_store_rev.csv\",index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T16:26:08.702913Z",
     "start_time": "2020-02-11T16:26:08.687897Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>revenue</th>\n",
       "      <th>reach</th>\n",
       "      <th>local_tv</th>\n",
       "      <th>online</th>\n",
       "      <th>instore</th>\n",
       "      <th>person</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>845</td>\n",
       "      <td>45860.28</td>\n",
       "      <td>2</td>\n",
       "      <td>31694.91</td>\n",
       "      <td>2115</td>\n",
       "      <td>3296</td>\n",
       "      <td>8</td>\n",
       "      <td>non_event</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>483</td>\n",
       "      <td>63588.23</td>\n",
       "      <td>2</td>\n",
       "      <td>35040.17</td>\n",
       "      <td>1826</td>\n",
       "      <td>2501</td>\n",
       "      <td>14</td>\n",
       "      <td>special</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>513</td>\n",
       "      <td>23272.69</td>\n",
       "      <td>4</td>\n",
       "      <td>30992.82</td>\n",
       "      <td>1851</td>\n",
       "      <td>2524</td>\n",
       "      <td>6</td>\n",
       "      <td>special</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>599</td>\n",
       "      <td>45911.23</td>\n",
       "      <td>2</td>\n",
       "      <td>29417.78</td>\n",
       "      <td>2437</td>\n",
       "      <td>3049</td>\n",
       "      <td>12</td>\n",
       "      <td>special</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>120</td>\n",
       "      <td>36644.23</td>\n",
       "      <td>2</td>\n",
       "      <td>35611.11</td>\n",
       "      <td>1122</td>\n",
       "      <td>1142</td>\n",
       "      <td>13</td>\n",
       "      <td>cobranding</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      revenue  reach  local_tv  online  instore  person       event\n",
       "845  45860.28      2  31694.91    2115     3296       8   non_event\n",
       "483  63588.23      2  35040.17    1826     2501      14     special\n",
       "513  23272.69      4  30992.82    1851     2524       6     special\n",
       "599  45911.23      2  29417.78    2437     3049      12     special\n",
       "120  36644.23      2  35611.11    1122     1142      13  cobranding"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看数据前5行\n",
    "store.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T16:26:08.717925Z",
     "start_time": "2020-02-11T16:26:08.705913Z"
    },
    "cell_style": "center"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 985 entries, 845 to 26\n",
      "Data columns (total 7 columns):\n",
      "revenue     985 non-null float64\n",
      "reach       985 non-null int64\n",
      "local_tv    929 non-null float64\n",
      "online      985 non-null int64\n",
      "instore     985 non-null int64\n",
      "person      985 non-null int64\n",
      "event       985 non-null object\n",
      "dtypes: float64(2), int64(4), object(1)\n",
      "memory usage: 61.6+ KB\n"
     ]
    }
   ],
   "source": [
    "# 查看数据信息，是否存在空值\n",
    "store.info()# local_tv存在空值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T16:33:14.239192Z",
     "start_time": "2020-02-11T16:33:14.234187Z"
    }
   },
   "outputs": [],
   "source": [
    "store.dropna(axis=0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T16:26:08.739944Z",
     "start_time": "2020-02-11T16:26:08.734940Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['non_event', 'special', 'cobranding', 'holiday'], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 获取event的具体类\n",
    "store.event.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T16:26:08.772973Z",
     "start_time": "2020-02-11T16:26:08.742948Z"
    },
    "cell_style": "center"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>cobranding</td>\n",
       "      <td>376.0</td>\n",
       "      <td>38288.119016</td>\n",
       "      <td>11979.348536</td>\n",
       "      <td>7146.99</td>\n",
       "      <td>30444.2750</td>\n",
       "      <td>37907.490</td>\n",
       "      <td>46327.7400</td>\n",
       "      <td>79342.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>holiday</td>\n",
       "      <td>96.0</td>\n",
       "      <td>37871.494896</td>\n",
       "      <td>12021.835993</td>\n",
       "      <td>5000.00</td>\n",
       "      <td>29722.5775</td>\n",
       "      <td>38299.100</td>\n",
       "      <td>46234.7875</td>\n",
       "      <td>73377.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>non_event</td>\n",
       "      <td>182.0</td>\n",
       "      <td>38029.054396</td>\n",
       "      <td>11210.926875</td>\n",
       "      <td>6874.43</td>\n",
       "      <td>29988.5650</td>\n",
       "      <td>38073.755</td>\n",
       "      <td>44634.6725</td>\n",
       "      <td>69429.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>special</td>\n",
       "      <td>275.0</td>\n",
       "      <td>39237.940545</td>\n",
       "      <td>11704.709265</td>\n",
       "      <td>10207.96</td>\n",
       "      <td>31385.3850</td>\n",
       "      <td>39553.130</td>\n",
       "      <td>46136.6350</td>\n",
       "      <td>71757.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            count          mean           std       min         25%  \\\n",
       "event                                                                 \n",
       "cobranding  376.0  38288.119016  11979.348536   7146.99  30444.2750   \n",
       "holiday      96.0  37871.494896  12021.835993   5000.00  29722.5775   \n",
       "non_event   182.0  38029.054396  11210.926875   6874.43  29988.5650   \n",
       "special     275.0  39237.940545  11704.709265  10207.96  31385.3850   \n",
       "\n",
       "                  50%         75%       max  \n",
       "event                                        \n",
       "cobranding  37907.490  46327.7400  79342.07  \n",
       "holiday     38299.100  46234.7875  73377.15  \n",
       "non_event   38073.755  44634.6725  69429.39  \n",
       "special     39553.130  46136.6350  71757.50  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看各event对应的revenue情况\n",
    "store.groupby('event')['revenue'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T16:33:19.714166Z",
     "start_time": "2020-02-11T16:33:19.710163Z"
    },
    "cell_style": "center"
   },
   "outputs": [],
   "source": [
    "# 使用get_dummies()将event变成哑变量(独热编码ont hot encode),并删除event列\n",
    "store = store.join(pd.get_dummies(store.event))\n",
    "del store['event']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T16:28:31.314282Z",
     "start_time": "2020-02-11T16:28:31.302273Z"
    },
    "cell_style": "center"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>revenue</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>local_tv</td>\n",
       "      <td>0.602114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>person</td>\n",
       "      <td>0.557475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>instore</td>\n",
       "      <td>0.307361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>online</td>\n",
       "      <td>0.174198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>special</td>\n",
       "      <td>0.042109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>cobranding</td>\n",
       "      <td>-0.013158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>holiday</td>\n",
       "      <td>-0.017463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>non_event</td>\n",
       "      <td>-0.018767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>reach</td>\n",
       "      <td>-0.165286</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             revenue\n",
       "revenue     1.000000\n",
       "local_tv    0.602114\n",
       "person      0.557475\n",
       "instore     0.307361\n",
       "online      0.174198\n",
       "special     0.042109\n",
       "cobranding -0.013158\n",
       "holiday    -0.017463\n",
       "non_event  -0.018767\n",
       "reach      -0.165286"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 销售额和各个维度的关系\n",
    "store.corr()[['revenue']].sort_values('revenue',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T17:19:25.644061Z",
     "start_time": "2020-02-11T17:19:25.308757Z"
    },
    "cell_style": "center"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 460.8x403.2 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(facecolor=(1,1,1),edgecolor=(0,0,0))\n",
    "sns.regplot(\n",
    "    x='local_tv',\n",
    "    y='revenue',\n",
    "    data=store,\n",
    ")\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-11T17:01:22.834695Z",
     "start_time": "2020-02-11T17:01:21.925866Z"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.4 64-bit ('base': conda)",
   "language": "python",
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  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
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  "toc": {
   "base_numbering": 1,
   "nav_menu": {
    "height": "287px",
    "width": "308px"
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   "number_sections": false,
   "sideBar": false,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "232px",
    "left": "951px",
    "top": "202px",
    "width": "384px"
   },
   "toc_section_display": true,
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  "varInspector": {
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   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
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     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "oldHeight": 499.85,
   "position": {
    "height": "521.85px",
    "left": "1872px",
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